Implementation of Bayesian and frequentist Weibull Shape Parameter (WSP) tests for signal detection in pharmacovigilance based on right-censored time-to-event data to flag associations between drugs and adverse events. The WSP test is based on the assumption of constant hazard reflected by a Weibull type distribution with shape parameters equal to one. Based on the shape parameter estimates (posterior distribution or point estimate), the WSP test method performs a hypothesis test on each shape parameter and combines them to a decision on the presence of a signal. Methods described in Sauzet and Cornelius (2022) <doi:10.3389/fphar.2022.889088>, Sauzet et al. (2024) <doi:10.1007/s40264-024-01460-2>, and Dyck and Sauzet (2025) <doi:10.48550/arXiv.2412.05463>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.4.0), Rdpack, HDInterval, ROCR, stats, graphics, magrittr, dplyr, tidyr, ggplot2, survival, furrr |
| LinkingTo: | BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0) |
| Published: | 2026-07-09 |
| DOI: | 10.32614/CRAN.package.WSPsignal |
| Author: | Julia Dyck [cre], Julia Dyck [aut], Odile Sauzet [aut] |
| Maintainer: | Julia Dyck <j.dyck at uni-bielefeld.de> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README |
| CRAN checks: | WSPsignal results |
| Reference manual: | WSPsignal.html , WSPsignal.pdf |
| Package source: | WSPsignal_1.0.0.tar.gz |
| Windows binaries: | r-devel: WSPsignal_1.0.0.zip, r-release: WSPsignal_1.0.0.zip, r-oldrel: WSPsignal_1.0.0.zip |
| macOS binaries: | r-release (arm64): WSPsignal_1.0.0.tgz, r-oldrel (arm64): WSPsignal_1.0.0.tgz, r-release (x86_64): WSPsignal_1.0.0.tgz, r-oldrel (x86_64): WSPsignal_1.0.0.tgz |
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